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Books > Computing & IT > Applications of computing > Image processing

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SIGMA - A Knowledge-Based Aerial Image Understanding System (Paperback, Softcover reprint of the original 1st ed. 1990) Loot Price: R2,874
Discovery Miles 28 740
SIGMA - A Knowledge-Based Aerial Image Understanding System (Paperback, Softcover reprint of the original 1st ed. 1990):...

SIGMA - A Knowledge-Based Aerial Image Understanding System (Paperback, Softcover reprint of the original 1st ed. 1990)

Takashi Matsuyama, Vincent Shang-Shouq Hwang

Series: Advances in Computer Vision and Machine Intelligence

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Loot Price R2,874 Discovery Miles 28 740 | Repayment Terms: R269 pm x 12*

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It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms and advanced hardware technologies, many practical ma chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition vii viii Preface errors occurred due to noise and the imperfection of segmentation algorithms."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Advances in Computer Vision and Machine Intelligence
Release date: May 2013
First published: 1990
Authors: Takashi Matsuyama • Vincent Shang-Shouq Hwang
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 280
Edition: Softcover reprint of the original 1st ed. 1990
ISBN-13: 978-1-4899-0869-8
Categories: Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 1-4899-0869-2
Barcode: 9781489908698

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